3D AI Tools
Free 3D AI tools for creating, optimizing, and manipulating 3D assets for games, films, and design projects, boosting your creative process.
3D-Fauna is able to turn a single image of a quadruped animal into an articulated, textured 3D mesh in a feed-forward manner, ready for animation and rendering.
WiLoR can localize and reconstruct multiple hands in real-time from single images. It achieves smooth 3D hand tracking with high accuracy, using a large dataset of over 2 million hand images.
PhysAvatar can turn multi-view videos into high-quality 3D avatars with loose-fitting clothes. The whole thing can be animated and generalizes well to unseen motions and lighting conditions.
3DTopia-XL can generate high-quality 3D PBR assets from text or image inputs in just 5 seconds.
ExAvatar can animate expressive whole-body 3D human avatars from a short monocular video. It captures facial expressions, hand motions, and body poses in the process.
Disentangled Clothed Avatar Generation from Text Descriptions can create high-quality 3D avatars by separately modeling human bodies and clothing. This method improves texture and geometry quality and aligns well with text prompts, enhancing virtual try-on and character animation.
DreamBeast can generate unique 3D animal assets with different parts. It uses a method from Stable Diffusion 3 to quickly create detailed Part-Affinity maps from various camera views, improving quality while saving computing power.
DrawingSpinUp can animate 3D characters from a single 2D drawing. It removes unnecessary lines and uses a skeleton-based algorithm to allow characters to spin, jump, and dance.
DreamHOI can generate realistic 3D human-object interactions (HOIs) by posing a skinned human model to interact with objects based on text descriptions. It uses text-to-image diffusion models to create diverse interactions without needing large datasets.
ProbTalk3D can generate 3D facial animations that show different emotions based on audio input! It uses a two-stage VQ-VAE model and the 3DMEAD dataset, allowing for diverse facial expressions and accurate lip-syncing.
LogoMotion can turn logos from layered PDF files into content-aware animated HTML canvas animations. Very cool!
SparseCraft can reconstruct 3D shapes and appearances from just three colored images. It uses a Signed Distance Function (SDF) and a radiance field, achieving fast training times of under 10 minutes without needing pretrained models.
DiffComplete can complete 3D shapes from incomplete scans using a diffusion-based method.
MeshAvatar can generate high-quality triangular human avatars from multi-view videos. The avatars can be edited, manipulated, and relit.
MeshAnything V2 can generate 3D meshes from point clouds, meshes, images, text and more.
And talking about Splats, Feature Splatting can manipulate both the appearance and the physical properties of objects in a 3D scene using text prompts.
CityGaussian can render large-scale 3D scenes in real-time using a divide-and-conquer training approach and Level-of-Detail strategy. It achieves high-quality rendering at an average speed of 36 FPS on an A100 GPU.
Perm can generate and manipulate 3D hairstyles. It enables applications such as 3D hair parameterization, hairstyle interpolation, single-view hair reconstruction, and hair-conditioned image generation.
SMooDi can generate stylized motion from text prompts and style motion sequences.
Interactive3D can generate high-quality 3D objects that users can easily modify. It allows for adding and removing parts, dragging objects, and changing shapes.